A Cooperative Coevolution Algorithm for the Seru Production With Minimizing Makespan

Seru
production can be used to enhance productivity, such as makespan reduction and manpower saving.
Seru
system operation includes two NP-hard problems, i.e.,
seru
formation and
seru
scheduling. The exact solution cannot be obtained by solving only one of
seru
formation and
seru
scheduling. We develop a cooperative coevolution algorithm for the
Seru
production with minimizing makespan by solving the
seru
formation and
seru
scheduling simultaneously. The cooperative coevolution algorithm includes two evolution algorithms, i.e., the algorithm combining generic algorithm and local search, and the ant colony optimization algorithm. The former algorithm is used to deal with the evolution of
seru
formation. The latter is used to find a better
seru
scheduling. In the cooperative mechanism, the two algorithms cooperate to seek a better solution of
seru
system operation. Finally, extensive-tested experiments show that the proposed cooperative coevolution algorithm can obtain a better solution than all the existing algorithms and, even, can obtain the exact solution for some medium-and-small instances.